Yang Li

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 14

Top Topics

Molecularly Imprinted

Top Venues

PLoS computational biology

Nature protocols

This page only lists publications with an associated author ORCID identifier.

Publications

Wei Zheng, Qiqige Wuyun, Yang Li, Chengxin Zhang, Peter L Freddolino, Yang Zhang
Improving deep learning protein monomer and complex structure prediction using DeepMSA2 with huge metagenomics data. Nature methods (2024)
Wei Zheng, Qiqige Wuyun, Yang Li, Chengxin Zhang, Peter L Freddolino, Yang Zhang
Improving deep learning protein monomer and complex structure prediction using DeepMSA2 with huge metagenomics data. Nature methods 21 (2) (2024)
Wei Zheng, Qiqige Wuyun, Yang Li, Chengxin Zhang, Peter L Freddolino, Yang Zhang
Improving deep learning protein monomer and complex structure prediction using DeepMSA2 with huge metagenomics data. Nature methods 21 (2) (2024)
Wei Zheng, Qiqige Wuyun, Yang Li, Chengxin Zhang, Peter L Freddolino, Yang Zhang
Improving deep learning protein monomer and complex structure prediction using DeepMSA2 with huge metagenomics data. Nature methods 21 (2) (2024)
Wei Zheng, Qiqige Wuyun, Yang Li, Chengxin Zhang, Peter L Freddolino, Yang Zhang
Improving deep learning protein monomer and complex structure prediction using DeepMSA2 with huge metagenomics data. Nature methods 21 (2) (2024)
Yang Li, Chengxin Zhang, Chenjie Feng, Robin Pearce, Peter L Freddolino, Yang Zhang
Integrating end-to-end learning with deep geometrical potentials for ab initio RNA structure prediction. Nature communications 14 (1) (2023)
Xiao-Gen Zhou, Yang Li, Chengxin Zhang, Wei Zheng, Guijun Zhang, Yang Zhang
Progressive assembly of multi-domain protein structures from cryo-EM density maps. Nature computational science 2 (4) (2022)
Robin Pearce, Yang Li, Gilbert S Omenn, Yang Zhang
Fast and accurate Ab Initio Protein structure prediction using deep learning potentials. PLoS computational biology 18 (9) (2022)
Xiao-Gen Zhou, Wei Zheng, Yang Li, Robin Pearce, Chengxin Zhang, Eric W Bell, Guijun Zhang, Yang Zhang
I-TASSER-MTD: a deep-learning-based platform for multi-domain protein structure and function prediction. Nature protocols 17 (10) (2022)
Wei Zheng, Yang Li, Chengxin Zhang, Xiao-Gen Zhou, Robin Pearce, Eric W Bell, Xiaoqiang Huang, Yang Zhang
Protein structure prediction using deep learning distance and hydrogen-bonding restraints in CASP14. Proteins 89 (12) (2021)
Yang Li, Chengxin Zhang, Eric W Bell, Wei Zheng, Xiao-Gen Zhou, Dong-Jun Yu, Yang Zhang
Deducing high-accuracy protein contact-maps from a triplet of coevolutionary matrices through deep residual convolutional networks. PLoS computational biology 17 (3) (2021)
Yang Li, Chengxin Zhang, Wei Zheng, Xiao-Gen Zhou, Eric W Bell, Dong-Jun Yu, Yang Zhang
Protein inter-residue contact and distance prediction by coupling complementary coevolution features with deep residual networks in CASP14. Proteins 89 (12) (2021)
Wei Zheng, Yang Li, Chengxin Zhang, Robin Pearce, S M Mortuza, Yang Zhang
Deep-learning contact-map guided protein structure prediction in CASP13. Proteins 87 (12) (2019)
Yang Li, Chengxin Zhang, Eric W Bell, Dong-Jun Yu, Yang Zhang
Ensembling multiple raw coevolutionary features with deep residual neural networks for contact-map prediction in CASP13. Proteins 87 (12) (2019)